Table 8 ANOVA summary for multivariable regression models.

From: Predicting the strengths of date fiber reinforced concrete subjected to elevated temperature using artificial neural network, and Weibull distribution

Output/model

df

SS

MS

SE

F-value

P-value

R2

Reg

Res

Reg

Res

Reg

Res

Weight loss

9

55

508.418

39.229

56.491

0.713

0.845

79.201

3.14 × 10−28

0.928

Residual compressive Strength

9

55

13,199.7

2940.5

1466.64

53.464

7.312

27.432

2.89 × 10−17

0.818

Residual Strength

9

55

58,297.64

15,845.5

6477.52

288.1

16.97

22.484

2.04 × 10−15

0.786

  1. *df = degrees of freedom, Reg = Regression, Res = Residual, SS = Sum of Squares, MS = Mean Squares, SE = Standard Errors.
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